ml-playground

A machine learning learning playground

Installation

Install poetry:

pip install poetry

Clone repository and go to directory:

git clone https://github.com/Hemantr05/ml_playground.git

Install dependencies via poetry:

poetry install

Or

pip install -r requirements.txt

Usage

Run the server

streamlit run app.py

Go to web browser and type:

127.0.0.1:8051

Tasks:

• Datasets:

  • Iris
  • Wine Dataset
  • Boston Housing Prices
  • MNIST
  • Breast Cancer
  • Custom Datasets

• Preprocessing:

  • StandardScaler

• Models:

  • SVM
  • Logistic Regression
  • KNN
  • Random Forest
  • MLP
  • Deep Neural Network
    • Hyperparameters:
      • Epochs
      • Learning Rate
      • Batch size
    • Loss Functions
    • Optimizers

• Visualization:

  • PCA
  • Table (dataframe from custom dataset)
  • Maps

Resource:

For deployment:

https://towardsdatascience.com/a-quick-tutorial-on-how-to-deploy-your-streamlit-app-to-heroku-874e1250dadd